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7 results on '"Wang, Caifeng"'

4. A Bayesian Joint Decorrelation and Despeckling of SAR Imagery.

Author

Wang, Caifeng, Xu, Linlin, Clausi, David A., and Wong, Alexander

Abstract

Despeckling of synthetic aperture radar (SAR) is a known research challenge. A novel solution to this problem has been developed and evaluated via an iterative maximum a posterior estimation incorporating a Bayesian joint decorrelation and despeckling based on a correlation model. This model realistically explores the physical correlation process of SAR speckle noise and is determined automatically via Bayesian estimation in the log-Fourier domain. A patchwise computation is used to account for the spatial nonstationarity associated with SAR image data. The proposed approach is compared to the existing despeckling techniques using both simulated and real SAR data, and the experimental results demonstrate the improvement in preserving the structural details while suppressing speckle noise. [ABSTRACT FROM AUTHOR]

Published
2019
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5. Stiffness computation of a decoupled micro gyroscope and the effect of machining error

Author

Yao Fenglin, Wang Caifeng, and Gao Shiqiao

Subjects
Microelectromechanical systems, Rate integrating gyroscope, Computer science, Stiffness, Natural frequency, Image processing, Gyroscope, law.invention, Surface micromachining, Machining, law, Electronic engineering, medicine, medicine.symptom
Abstract

This paper introduces a structure of decoupled micro gyroscope. And derives the analytical stiffness calculation of the drive mode and the detect mode. After the manufacture, it uses the microscope and the micro image dimension measurement software to measure the micro gyroscope. By using the measured data and the equivalent elastic modulus, the natural frequency of the drive mode and the detect mode are calculated. By the video and the image processing method, it dynamically tests the drive mode of the micro gyroscope and gets the resonant frequency of the drive mode. The result proofs that the machining error has great effect on the natural frequency of the drive mode of micro gyroscope. And two ways of calculating and testing the natural frequency of the drive mode of the micro gyroscope are effective methods. On the other hand, using the video and the image processing method will provide a novel method for MEMS test.

Published
2011

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